The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications

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dc.authorid0000-0003-3302-0705en_US
dc.contributor.authorMazucheli, Josmar
dc.contributor.authorKorkmaz, Mustafa Çağatay
dc.contributor.authorMenezes, Andre F. B.
dc.contributor.authorLeiva, Victor
dc.date.accessioned2022-08-23T11:59:35Z
dc.date.available2022-08-23T11:59:35Z
dc.date.issued2022
dc.departmentAÇÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractIn this paper, we propose and derive a new regression model for response variables defined on the open unit interval. By reparameterizing the unit generalized half-normal distribution, we get the interpretation of its location parameter as being a quantile of the distribution. In addition, we can evaluate effects of the explanatory variables in the conditional quantiles of the response variable as an alternative to the Kumaraswamy quantile regression model. The suitability of our proposal is demonstrated with two simulated examples and two real applications. For such data sets, the obtained fits of the proposed regression model are compared with that provided by a Kumaraswamy regression model.
dc.identifier.citationMazucheli, J., Korkmaz, M. Ç., Menezes, A. F., & Leiva, V. (2022). The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications. Soft Computing, 1-17.en_US
dc.identifier.doi10.1007/s00500-022-07278-3
dc.identifier.endpage17en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11494/4150
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorKorkmaz, Mustafa Çağatay
dc.language.isoenen_US
dc.publisherOne New York Plazaen_US
dc.relation.ispartofSoft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKumaraswamy distributionen_US
dc.subjectLikelihood methodsen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectR softwareen_US
dc.subjectResidual analysisen_US
dc.subjectUnit generalized half-normal distributionen_US
dc.titleThe unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applicationsen_US
dc.typeArticle

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